Author:
Liu Xiao,Kascenas Antanas,Watson Hannah,Tsaftaris Sotirios A.,O’Neil Alison Q.
Publisher
Springer Nature Switzerland
Reference28 articles.
1. Alexander, R.G., Waite, S., Macknik, S.L., Martinez-Conde, S.: What do radiologists look for? Advances and limitations of perceptual learning in radiologic search. J. Vis. 20(10), 17–17 (2020)
2. Antonelli, M., et al.: The medical segmentation decathlon. Nat. Commun. 13(1), 4128 (2022)
3. Arad Hudson, D., Zitnick, L.: Compositional transformers for scene generation. In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2021)
4. Bakas, S., et al.: Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features. Sci. Data 4(1), 1–13 (2017)
5. Bakas, S., et al.: Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BraTS challenge. arXiv preprint arXiv:1811.02629 (2018)
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